Description
Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.sent_convbert_base_turkish_mc4_cased_pipeline is a Turkish model originally trained by dbmdz.
How to use
pipeline = PretrainedPipeline("sent_convbert_base_turkish_mc4_cased_pipeline", lang = "tr")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("sent_convbert_base_turkish_mc4_cased_pipeline", lang = "tr")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | sent_convbert_base_turkish_mc4_cased_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | tr |
| Size: | 400.6 MB |
References
https://huggingface.co/dbmdz/convbert-base-turkish-mc4-cased
Included Models
- DocumentAssembler
- TokenizerModel
- SentenceDetectorDLModel
- BertSentenceEmbeddings